-4d90550d17f4602e089a0c 20220618052244213 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2022 11 2 Specialist Trainer (B) in Public Authority for Applied Education and Training. California state university – Fresno. Kuwait Eng. Faisal D Alajmi Eng. Hadyan Ali Alajmi Specialist Trainer (B) in Public Authority for Applied Education and Training. the University of Arab Academy for Science, Technology, and Transport. Kuwait This research aims to provide such conditions in smart home applications, which monitor and control energy resources, in addition to evaluating the microgrid system whose function depends on economic strategies. MATLAB Simulink was built to manage home energy using the microgrid system. Measurements of the three signals represent that there was a decrease in energy consumption after using the Microgrid system. Two scenarios or cases were used to make a comparison of the performance after the addition of the PV array to the system. The electrical load is distributed in the late night and morning when the cost of energy purchased is minimum. At the same time, the daily production of energy by the PV is approximately around 4 MW in the interval between 6 am and 5 pm. The excess energy is stored to be used in the greatest power need periods (peak period). Some power may overflow during the day, and it can be sold to the local network at a certain price (usually less than the purchase price). Energy may increase during the day and overflow; in this case, part of it is sold to local networks at less cost than the purchase. Also, there is a reduction in the cost in the two previously mentioned cases from 1008.56 to -39.42 € due to the comprehensive management of the smart energy software by scheduling the use of electrical loads in the time windows between the start time and the end time according to change in price to get the minimum cost. In view of the use of (PV) and battery storage system, expenditure costs are also decreased, and the customer benefits from the surplus energy by injecting 26.66 kW into the grid and selling the surplus kilowatt to the local network as well. 07 30 2022 40 45 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B7059.0711222 https://www.ijrte.org/portfolio-item/b70590711222/ System Engineer, Department of Life Science, Tata Consultancy Services, Mumbai (M.H), India Vineet Agarwal Anjali Shukla MSCS, Illinois Institute of Technology, Chicago, Illinois, USA. The advent of virtual assistants has made communicating with computers a reality. Chatbots are virtual assistant tools designed to simplify the communication between humans and computers. A chatbot will answer your queries and execute a certain computation if required. Chatbots can be developed using Natural Language Processing (NLP) and Deep Learning. Natural Language Process technique like Naïve bayes can be used. Chatbot can be implemented for a fun purpose like chit-chat; these are called Conversational chatbots. Chatbots designed to answer any questions is known as horizontal chatbots and the specific task-oriented chatbots are known as vertical chatbots (also known as Closed Domain Chatbots). In this paper, we will be discussing a task-oriented chatbot to help recruitment team in the technical round of interview process. 07 30 2022 46 49 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B7092.0711222 https://www.ijrte.org/portfolio-item/b70920711222/ Department of Mechanical Engineering, MIT ADT University, Pune (Maharashtra), India. Abhishek Pushpakanth Mangesh N. Dhavalikar Department of Mechanical Engineering, MIT ADT University, Pune, (Maharashtra), India. Automation can help us to reduce the number of crashes on our roads. Through research it is identified that 94 percent of the accidents that occur are because of driver behavior or error as a factor and self-driving vehicles can help reduce driver error. High levels of automation have the potential to reduce risky and dangerous driver behavior and prevent accidents. The main aim is to convert the manual operated steering of the vehicle into fully autonomous steering. The objective of Steering Control System is to control the vehicle’s steering while the vehicle is in motion and also to take accurate decisions while making a turn from the given inputs. The main purpose to develop a steering system for the autonomous vehicle is to replace the manual steering of the vehicle into driverless steering. The steering control is responsible for the vehicle’s steering i.e., at what desired angle the vehicle need to turn. A PID (Proportional Integral Derivative) controller and an encoder is basically used to control the system based on the necessary conditions and requirement’s. For the vehicle’s steering the encoder is used to generate pulses when the steering wheel is turned so that those pulse values can be sent to the DC Motor which is attached to the front axle which is responsible for the vehicle to turn. This autonomous vehicle is a Level-4 automation system and the benefit of this automation is that the vehicle can be even operated in manual mode whenever it’s necessary. 07 30 2022 50 53 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B7105.0711222 https://www.ijrte.org/portfolio-item/b71050711222/ Department of Computing Technologies, SRM Institute of Science and Technology, Chennai (Tamil Nadu.), India. Amaan Aijaz Komal Rastogi Department of Computing Technologies, SRM Institute of Science and Technology, Chennai (Tamil Nadu.), India. Dr. TK Sivakumar Department of Computing Technologies, SRM Institute of Science and Technology, Chennai (Tamil Nadu.), India. The stock market is a field which has spurred the interest of not only researchers, but, ordinary people as well over the years. It has encouraged scientists to develop better predictive models. The stock market is not as simple as it might seem initially. It is a transformative, non-straight dynamical and complex system. The main objectives of the project are to analyze the advantages and disadvantages of using Machine Learning techniques for the purpose of predicting values and comparing different algorithms, along with integrating the best model in a Web Application which will help users to be able to improve their decision making strategies by trying to give them an insight on what could possibly happen in the short term of things. Machine learning can be described as a technology that enables a system to learn on its own through real-world interactions with the help of data and hence be able to recognize similar interactions which the machine initially learned. Machine Learning over the past decade has quite subtly become to become a part of one’s everyday life due to its key role in numerous vital applications. 07 30 2022 54 60 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B7083.0711222 https://www.ijrte.org/portfolio-item/b70830711222/ College of Computing Information Technology University of Tabuk, Tabuk 71491, Saudi Arabia Arwa Aloqbi Manal Alshammari College of Computing Information Technology University of Tabuk, Tabuk 71491, Saudi Arabia Amal Alatawi College of Computing Information Technology University of Tabuk, Tabuk 71491, Saudi Arabia Amer Aljaedi College of Computing Information Technology University of Tabuk, Tabuk 71491, Saudi Arabia Adel R. Alharbi College of Computing Information Technology University of Tabuk, Tabuk 71491, Saudi Arabia The use of Internet of Things devices has lately increased significantly, leading to the management of a diverse set of nodes and a vast number of data. Most Internet of Things nodes have limited resources and are vulnerable to a variety of threats and failures. Therefore, numerous novel techniques have been conducted to secure resource-constrained devices such as access control. In this work, we proposed an access control mechanism by using the user log files when they interact with their Internet of Things devices. Where it is possible to define and enforce access control restrictions and follow logs through log files to monitor the user accessing behaviors. This mechanism can be applied as an extra security layer along with any traditional user authentication access control to have the effective and accurate access control to prevent intrusion reveal information in the Internet of Things devices. To do this, we developed three Internet of Things applications on mobile, table, and website pages with different functionalities and goals to store the user log file features. We collected a large-scale date-set from over a thousand participants. Three machine learning algorithms: J48, Part, and Naive Bayes are applied and compared to predict the legitimate users. Several experiments were performed with significant results. 07 30 2022 61 68 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B7094.0711222 https://www.ijrte.org/portfolio-item/b70940711222/ M.Tech, VLSI System Design, Jawaharlal Nehru Technological University, Anantapuramu (AP), India. Deepa G. Dr. S. Aruna Mastani Department of ECE, Jawaharlal Nehru Technological University, Anantapuramu (AP), India. The Fast Fourier Transform is incomplete without bit-reversal. Novel parallel circuits for calculating bit reversal on data which is coming parallel are presented in this paper. The circuits are simplest, consisting of memories and multiplexers, and have the benefit of requiring the fewest multiplexers of all architectures for parallel bit reversal thus far, and tiny overall memory. 07 30 2022 69 72 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B7104.0711222 https://www.ijrte.org/portfolio-item/b71040711222/